Q-omics provides the consensus-scored RPL35AP22 profile across patient tissues and cancer cell-line models. RPL35AP22 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, RPL35AP22 is differentially expressed in 1, with the highest sampling consensus in KICH. Additionally, RPL35AP22 RNA expression shows 5,878 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight ESCA, KICH, and STAD as cancer lineages where RPL35AP22 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for RPL35AP22 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RPL35AP22 survival associations across molecular data types. RPL35AP22 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RPL35AP22 RNA expression–survival associations across cancer types. High RPL35AP22 expression shows unfavorable associations in ESCA, BRCA, LUSC, SKCM, PCPG and LIHC. The ESCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify ESCA as the clearest survival context for RPL35AP22 RNA expression.
This table summarizes RPL35AP22 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for RPL35AP22. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RPL35AP22 shows higher tumor expression in KICH. The KICH box plot shows higher RPL35AP22 RNA expression in tumor versus normal tissue (log2 FC = +0.048, t-test p = .027).
This table shows molecular features associated with RPL35AP22 in patient tissues and cancer cell lines. In patient samples, RPL35AP22 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
